Efficient Block-based Matching for Content-based Retrieval of CT Head Images

An efficient image retrieval system for use in medical applications is proposed. The system addresses both global and local features and is able to perform similarity retrieval on the whole image as well as on local regions within the image. The retrieval algorithm is based on a simple grey level hi...

Full description

Bibliographic Details
Main Authors: Ahmad Fauzi, Mohammad Faizal, Wan Ahmad, Wan Siti Halimatul Munirah
Format: Conference or Workshop Item
Published: 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2956/
_version_ 1848790194670534656
author Ahmad Fauzi, Mohammad Faizal
Wan Ahmad, Wan Siti Halimatul Munirah
author_facet Ahmad Fauzi, Mohammad Faizal
Wan Ahmad, Wan Siti Halimatul Munirah
author_sort Ahmad Fauzi, Mohammad Faizal
building MMU Institutional Repository
collection Online Access
description An efficient image retrieval system for use in medical applications is proposed. The system addresses both global and local features and is able to perform similarity retrieval on the whole image as well as on local regions within the image. The retrieval algorithm is based on a simple grey level histogram (GLH) algorithm to capture the intensity distribution, and a novel block-based retrieval technique to localize the image. The algorithm is tested on a database of computed tomography (CT) images of head provided by a local hospital. Promising results are reported which pave the way for the integration of the block-based method with a more advanced feature extraction method.
first_indexed 2025-11-14T18:08:45Z
format Conference or Workshop Item
id mmu-2956
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:08:45Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling mmu-29562011-09-26T01:14:39Z http://shdl.mmu.edu.my/2956/ Efficient Block-based Matching for Content-based Retrieval of CT Head Images Ahmad Fauzi, Mohammad Faizal Wan Ahmad, Wan Siti Halimatul Munirah T Technology (General) QA75.5-76.95 Electronic computers. Computer science An efficient image retrieval system for use in medical applications is proposed. The system addresses both global and local features and is able to perform similarity retrieval on the whole image as well as on local regions within the image. The retrieval algorithm is based on a simple grey level histogram (GLH) algorithm to capture the intensity distribution, and a novel block-based retrieval technique to localize the image. The algorithm is tested on a database of computed tomography (CT) images of head provided by a local hospital. Promising results are reported which pave the way for the integration of the block-based method with a more advanced feature extraction method. 2008-10 Conference or Workshop Item NonPeerReviewed Ahmad Fauzi, Mohammad Faizal and Wan Ahmad, Wan Siti Halimatul Munirah (2008) Efficient Block-based Matching for Content-based Retrieval of CT Head Images. In: 10th IEEE Workshop on Multimedia Signal Processing, 08-10 OCT 2008, Cairns, AUSTRALIA. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W1gbFB46DdE8F6aaJIP&page=99&doc=987
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Ahmad Fauzi, Mohammad Faizal
Wan Ahmad, Wan Siti Halimatul Munirah
Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title_full Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title_fullStr Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title_full_unstemmed Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title_short Efficient Block-based Matching for Content-based Retrieval of CT Head Images
title_sort efficient block-based matching for content-based retrieval of ct head images
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2956/
http://shdl.mmu.edu.my/2956/